
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "112"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 106 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 102 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.655530	-0.881258	2.117320	-0.274561	0.292776	1.166998	1.093762	0.038727	0.7192	0.7580	0.2842	12.324383	15.282477
2459593	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.680382	-0.321276	0.671635	0.218171	-0.859979	0.326321	-0.683087	-0.720710	0.6582	0.6530	0.2665	4.360012	4.998784
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.191946	-0.817727	-0.115247	-0.565798	-1.460525	0.286192	-1.938057	-0.088010	0.0290	0.0564	0.0026	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	355.601531	355.581627	inf	inf	81.963282	85.333323	980.811089	999.629463	nan	nan	nan	0.000000	0.000000
2459590	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.209859	-0.119386	1.146911	-0.108680	-0.653677	1.554135	-0.679546	-0.655514	0.6007	0.6115	0.3633	5.734759	6.228639
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.713187	-0.390687	0.706385	-0.535904	3.180225	-0.728088	0.440200	-0.140677	0.6218	0.6393	0.2971	4.393087	5.036847
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.015921	-0.338765	1.061415	0.270103	-0.185283	0.281199	-0.041687	0.033015	0.6895	0.6764	0.2503	4.818045	4.972611
2459587	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.146947	0.080349	1.651861	0.910546	0.907842	1.875858	1.085468	1.614707	nan	nan	nan	3.937182	4.480134
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.051154	-1.015142	-0.593533	-0.728354	-0.645467	0.547963	-0.290018	-0.264742	0.5997	0.6153	0.3467	3.394413	3.521258
2459585	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.284525	-0.524581	-0.998589	-0.826023	-0.326822	-0.787415	-1.117063	-0.180610	0.0312	0.0623	0.0028	0.000000	0.000000
2459584	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.871071	-0.203483	-0.084331	0.852539	-0.724097	-0.535569	0.304496	-0.176535	0.5491	0.5630	0.3586	4.754516	4.080428
2459583	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.255470	0.196685	-0.612669	-0.141263	-0.577518	0.512287	3.109563	0.933201	0.5978	0.6141	0.3786	3.951918	4.162466
2459582	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.921468	0.059253	-0.249610	0.003515	-0.397377	0.185689	1.967526	0.430511	0.6066	0.6198	0.3791	3.625030	3.730010
2459581	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.327287	-0.329021	-0.953229	0.292399	-0.675991	0.038271	-0.272767	-0.696545	0.6060	0.6170	0.3848	3.679429	3.745521
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.252245	-0.450820	-0.184937	0.398505	-1.296371	-0.456646	0.432109	-0.206014	0.6147	0.6271	0.3776	4.142113	4.220292
2459579	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.093699	-0.148385	-0.165455	0.434056	-1.129549	-0.312800	-0.430682	-0.422809	0.6110	0.6226	0.3834	4.928365	5.154355
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.328143	0.646187	-0.813030	-0.033467	-1.335660	0.846767	-0.787479	-1.106193	0.0297	0.0576	0.0039	nan	nan
2459577	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.557602	-0.219929	-0.848849	0.242320	-1.116287	-0.260293	-0.391770	-0.838920	0.6067	0.6191	0.3805	4.273567	4.337134
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.371725	-0.238642	-0.694177	-0.048161	-0.853849	-0.323646	-0.305657	-0.731153	0.6322	0.6468	0.3835	4.402860	4.778720
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.153181	-0.445862	-0.697399	-0.338181	0.010738	0.461695	-0.704165	-0.581108	0.6984	0.7087	0.3365	4.731892	5.291217
2459574	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.115060	-0.416475	-0.888477	-0.377784	-0.940199	-1.591991	-1.059985	-0.937586	0.6310	0.6438	0.3866	3.664456	3.852862
2459573	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.002958	-0.330422	-0.462195	0.343495	-1.209040	0.105578	-0.809531	-0.517782	0.6273	0.6400	0.3850	3.552082	3.793703
2459572	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.314171	-0.480201	-0.687140	-0.141355	-1.048794	-0.306904	-0.434872	-0.467128	0.6281	0.6399	0.3835	4.531993	4.885048
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.085125	-0.459679	-0.719715	-0.546890	2.428734	3.064064	0.171113	1.075234	0.7101	0.7230	0.2487	4.407440	4.293565
2459566	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.155194	-0.709790	-0.671851	-0.210872	-1.387639	-0.323034	-0.722945	-0.881543	0.6254	0.6390	0.3906	3.328852	3.519432
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.059218	1.059218	0.968690	0.968690	-0.627210	-0.627210	-0.758470	-0.758470	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459563	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.017638	-0.784025	-0.182099	0.875692	-1.390805	1.302951	-0.309265	-0.483192	0.6311	0.6404	0.3851	3.545926	3.765083
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.807526	-0.966501	-0.469882	-0.685399	0.102364	0.374739	-0.016179	-0.258756	0.6316	0.6450	0.3869	3.256575	3.164381
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.528440	-0.567427	-0.578472	-0.757058	-0.003372	0.719607	0.415261	-0.196440	0.6354	0.6538	0.3862	2.839785	2.993002
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.323693	-0.727095	-0.398040	-0.825283	0.399855	0.874948	1.185295	-0.114487	0.6322	0.6454	0.3904	3.009518	2.966976
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.823533	-1.172684	-0.584969	-1.023520	0.294454	0.739625	0.670333	-0.351095	0.6343	0.6488	0.3791	3.488463	3.351432
2459558	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.223100	-0.537928	-0.233435	-0.166869	-1.408257	0.655904	0.545834	-0.349395	0.6385	0.6497	0.3866	3.124313	3.253296
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0295	0.0704	0.0035	nan	nan
2459556	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.120081	-0.548961	-0.162997	-0.250924	-0.946137	0.964300	0.352006	-0.244465	0.6313	0.6442	0.3903	3.050235	3.250688
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6394	0.6513	0.3955	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6142	0.6502	0.3958	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	9.651398	-0.158334	0.030561	0.955762	9.200008	-1.361311	0.085351	-0.247737	0.6186	0.6531	0.3949	8.069767	10.065643
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.540313	-0.665446	-0.652768	-0.868476	0.245222	0.603752	-0.099925	-0.360322	0.6296	0.6453	0.3917	4.013390	3.623340
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0420	0.0643	0.0029	nan	nan
2459549	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.211300	-0.408802	-0.601657	-0.331231	-1.044291	0.424268	0.071506	-0.714254	0.6333	0.6511	0.4011	2.980428	3.125021
2459542	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.199241	-0.174605	-0.747427	0.424147	-0.751860	0.000106	-0.792081	-0.845325	0.7023	0.7126	0.3585	3.309204	3.317223
2459541	RF_maintenance	0.00%	1.79%	1.79%	0.00%	100.00%	0.00%	1.301941	0.012751	0.054062	0.061934	0.112254	0.135706	-0.042076	0.900391	0.6884	0.6994	0.3359	3.788793	4.032033
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.251618	-0.046322	-0.684320	-0.379760	-0.819587	0.684480	-0.264228	-0.077757	0.7017	0.7050	0.3486	3.076939	3.200336
2459536	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.280701	-0.074076	0.014732	1.151890	-0.810334	-0.410058	-0.903549	-1.126190	0.0802	0.0955	0.0187	0.000000	0.000000
2459535	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.084614	-0.379376	-0.463687	-0.417320	-0.665771	-0.619681	-0.063204	-0.293590	0.0934	0.0851	0.0201	0.971130	0.979143
2459534	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.416398	-0.342275	-0.371730	-0.346886	-0.360755	-0.249642	0.316916	-0.273107	0.0924	0.0841	0.0190	3.430905	4.115405
2459533	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.790822	0.250311	-0.321769	-0.341226	-1.096382	1.148433	-0.752328	-0.133445	0.0901	0.0936	0.0218	-0.000000	-0.000000
2459532	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.388512	0.051798	-0.139075	-0.130965	-1.377926	0.731082	-0.761334	-0.644495	0.0882	0.0885	0.0190	-0.000000	-0.000000
2459530	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.337622	-0.505707	-0.445542	-0.660463	0.212798	0.505028	0.049927	-0.192988	0.0956	0.0992	0.0227	17.408057	25.889986
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.216858	-0.358609	-0.581310	-0.095990	-1.236750	1.020201	0.009566	-0.612635	0.9066	0.9337	0.3188	0.000000	0.000000
2459523	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.942277	0.211684	-1.029310	0.868103	-0.410049	2.093698	-0.524125	-0.705305	nan	nan	nan	7.196464	7.636719
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.930316	0.726766	-0.464520	0.900924	-0.697216	4.695337	-0.017705	-0.584745	0.6066	0.6870	0.4196	0.000000	0.000000
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.010634	0.412225	-0.829612	-0.678874	0.201975	0.259648	-0.665661	-0.676614	0.0427	0.0645	0.0046	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.580257	-0.016476	-0.762794	0.421823	-0.254146	-0.151870	-0.418629	-0.266083	0.9009	0.9521	0.2043	0.000000	0.000000
2459505	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.151003	-0.019185	0.099112	-0.679698	-1.447456	0.935706	-0.639939	-0.466877	0.8779	0.8587	0.2014	10.468258	16.117977
2459503	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.028906	0.109107	0.232668	-0.830049	-0.637558	-0.844215	-0.861267	-0.232807	0.8543	0.8495	0.4751	0.000000	0.000000
2459501	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.296527	0.486523	0.287743	-0.462757	-0.547444	1.162441	-0.444697	-0.777739	0.8513	0.8923	0.3888	0.000000	0.000000
2459500	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.302463	0.508451	-0.313133	-0.251821	-0.275689	-0.622462	-0.659922	-0.768690	0.8586	0.8867	0.3759	0.000000	0.000000
2459499	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.312952	0.416186	-0.406726	-0.314191	-0.482344	-0.657771	-0.694431	-0.815757	0.8791	0.9367	0.1821	0.000000	0.000000
2459498	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.350535	0.252111	0.000005	-0.826455	0.212011	-0.953616	-0.747342	-0.375115	0.8663	0.8872	0.4140	0.000000	0.000000
2459497	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.075526	-0.034120	0.387747	-1.012475	0.624721	-0.420873	-0.812084	-0.490661	0.8844	0.9277	0.3406	0.000000	0.000000
2459496	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.545058	-0.005379	-0.050364	-0.690274	-0.061196	-0.540979	0.334715	0.164812	0.8949	0.9041	0.3899	0.000000	0.000000
2459495	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.482610	0.044507	-0.117974	-0.817179	-0.190443	-0.499690	1.014971	0.743262	0.8905	0.8990	0.4266	0.000000	0.000000
2459494	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.462139	0.201568	-0.315083	-0.584772	-0.184442	-0.115378	-0.830103	-0.396661	0.8801	0.8907	0.4353	0.000000	0.000000
2459492	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.516140	0.511907	0.667625	0.775136	-0.009928	1.480797	-1.413178	0.164714	0.7385	0.8003	0.3329	9.543840	8.377855
2459491	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.324016	0.050396	0.935119	1.102794	-0.345209	2.036527	-1.194735	-0.918526	0.7774	0.8149	0.2764	2.489094	2.364958
2459490	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.558865	-0.135904	0.890188	1.928922	-0.163687	1.332499	-1.529513	-0.835132	0.7304	0.7982	0.3853	6.355799	4.967911
2459489	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.760293	0.524854	0.591455	1.221260	-0.082625	1.959272	-0.689150	-0.673642	0.7464	0.8027	0.3330	5.615862	4.328121
2459488	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.761229	0.483921	0.309391	1.032954	-0.750564	1.754313	-1.353131	-0.710793	0.7466	0.8066	0.3650	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 112 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 112, Node 10:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 112: 2459630

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶